Schema configuration for optimizer registration. Defines how to collect data, generate strategies, and create executable code.
note: string
Optional description of this optimizer configuration.
optimizerName: string
Unique identifier for this optimizer. Used to retrieve optimizer instance from registry.
rangeTrain: IOptimizerRange[]
Array of training time ranges. Each range generates a separate strategy variant for comparison.
rangeTest: IOptimizerRange
Testing time range for strategy validation. Used in generated Walker to evaluate strategy performance.
source: Source<any>[]
Array of data sources for strategy generation. Each source contributes to the LLM conversation context.
getPrompt: (symbol: string, messages: MessageModel[]) => string | Promise<string>
Function to generate strategy prompt from conversation history. Called after all sources are processed for each training range.
template: Partial<IOptimizerTemplate>
Optional custom template overrides. If not provided, uses defaults from OptimizerTemplateService.
callbacks: Partial<IOptimizerCallbacks>
Optional lifecycle callbacks for monitoring.